Evidence map›Paper›PMID 32476072›Full record

ArticleInternational journal of bipolar disorders2020

Treating winter depressive episodes in bipolar disorder: an open trial of light therapy.

Lotte J E van Hout, Lisette E P Rops, Claudia J P Simons

Open access · goldAbstract read
In one paragraph

Article in International journal of bipolar disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Lotte J E van HoutGGzE, Institute for Mental Health Care Eindhoven, Dr. Poletlaan 40, 5626 ND, Eindhoven, The Netherlands. Lotte.van.hout@ggze.nl.ORCID http://orcid.org/0000-0002-0564-0627
Lisette E P RopsGGzE, Institute for Mental Health Care Eindhoven, Dr. Poletlaan 40, 5626 ND, Eindhoven, The Netherlands.
Claudia J P SimonsGGzE, Institute for Mental Health Care Eindhoven, Dr. Poletlaan 40, 5626 ND, Eindhoven, The Netherlands.
Eindhoven University of Technology · NLMaastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLight therapy has been used to treat winter depression in bipolar disorder, although the dose, duration, and timing of treatment have differed. The present study is an open trial of light therapy for depressive episodes in autumn/winter using a Dutch protocol specific for patients with a bipolar disorder.

methodsData were collected for the seasons September-April 2017-2018 and September-April 2018-2019. In total, 58 patients received light therapy for a minimum of 7 days and a maximum of 21 days; there was a follow-up measurement after two weeks. Outcomes were quick inventory of depressive symptomatology (QIDS) scores and side effects.

resultsQIDS scores were significantly lower at the last day of therapy (B = - 6.00, p < 0.001) and 2 weeks after the end of treatment (B = - 6.55, p < 0.001) compared with pre-intervention. Remission (QIDS ≤ 5) was reached in 55% of the treatments and response (50% symptom reduction) in 57% of the treatments. Side effects were mild; two hypomanic periods occurred.

conclusionsThe Dutch light therapy protocol for patients with a bipolar disorder may be effective in treating a seasonal depression and side effects are mild. Light therapy deserves a prominent place in the treatment because effects may be large and quick.

Indexed as

Bipolar disorderLight therapySeasonal affective disorderWinter depression

Identifiers

PMID32476072
PMCPMC7261710
OpenAlexW3030038214

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.